LoneStriker
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Browse files- README.md +44 -0
- config.json +26 -0
- huggingface-metadata.txt +20 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00005.safetensors +3 -0
- output-00002-of-00005.safetensors +3 -0
- output-00003-of-00005.safetensors +3 -0
- output-00004-of-00005.safetensors +3 -0
- output-00005-of-00005.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +35 -0
README.md
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---
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license: cc-by-nc-2.0
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---
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# lzlv_70B
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## A Mythomax/MLewd_13B-style merge of selected 70B models
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A multi-model merge of several LLaMA2 70B finetunes for roleplaying and creative work. The goal was to create a model that combines creativity with intelligence for an enhanced experience.
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Did it work? Probably, maybe. It seemed subjectively better than each of the individual models in my tests.
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GGUF 4_K_M + 5_K_M can be found here: https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf/settings
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## Procedure:
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Models used:
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- **NousResearch/Nous-Hermes-Llama2-70b** - A great model for roleplaying, but not the best at following complex instructions.
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- **Xwin-LM/Xwin-LM-7B-V0.1** - Excellent at following instructions and quite creative out of the box, so it seemed like the best available model to act as the base for the merge.
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- **Doctor-Shotgun/Mythospice-70b** - The wildcard of the three. I was looking for a creative, NSFW-oriented model and came across this while digging through hf. I hadn't heard of it before and apparently no one had bothered to release a quantized version of this model. So I downloaded it and did it myself to test it. It turned out to be more or less what I was looking for as my third component, so I used it here.
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A big thank you to the creators of the models above. If you look up Mythospice, you will notice that it also includes Nous-Hermes so it's technically present twice in this mix. This is apparently common practice amongst the cool kids who do 13B models so I don't think this hurts the model.
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The merging process was heavily inspired by Undi95's approach in Undi95/MXLewdMini-L2-13B. To be specific, the ratios are:
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Component 1: Merge of Mythospice x Xwin with SLERP gradient [0.25, 0.3, 0.5].
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Component 2: Merge Xwin x Hermes with SLERP gradient [0.4, 0.3, 0.25].
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Finally, both Component 1 and Component 2 were merged with SLERP using weight 0.5.
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## Peformance
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I tested this model for a few days before publishing it. It seems to more or less retain the instruction-following capabilities of Xwin-70B, while seeming to have adopted a lot of the creativity of the other two models.
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It handled my more complex scenarios that creative models otherwise tend to struggle with quite well. At the same time, its outputs felt more creative and possibly a bit more nsfw-inclined than Xwin-70b.
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So, is it better? Feels like it to me, subjectively. Is it really better? No clue, test it.
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## Prompt format:
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Vicuna
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USER: [Prompt]
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ASSISTANT:
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config.json
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{
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"_name_or_path": "output_a_mythoxwin/",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.33.3",
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"use_cache": true,
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"vocab_size": 32000
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}
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huggingface-metadata.txt
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url: https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf
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branch: main
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download date: 2023-10-25 23:00:20
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sha256sum:
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1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"__type": "AddedToken",
|
4 |
+
"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
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7 |
+
"rstrip": false,
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8 |
+
"single_word": false
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9 |
+
},
|
10 |
+
"clean_up_tokenization_spaces": false,
|
11 |
+
"eos_token": {
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12 |
+
"__type": "AddedToken",
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13 |
+
"content": "</s>",
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14 |
+
"lstrip": false,
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15 |
+
"normalized": false,
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16 |
+
"rstrip": false,
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17 |
+
"single_word": false
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18 |
+
},
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19 |
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"legacy": false,
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20 |
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"model_max_length": 1000000000000000019884624838656,
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21 |
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"pad_token": null,
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22 |
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"padding_side": "right",
|
23 |
+
"sp_model_kwargs": {},
|
24 |
+
"spaces_between_special_tokens": false,
|
25 |
+
"tokenizer_class": "LlamaTokenizer",
|
26 |
+
"unk_token": {
|
27 |
+
"__type": "AddedToken",
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false
|
33 |
+
},
|
34 |
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"use_default_system_prompt": true
|
35 |
+
}
|